Gómez-Letona, Markel; Arístegui, Javier; Hernández-Hernández, Nauzet; Alvarez-Salgado, Xose Anton; Álvarez, Marta; Delgadillo, Erick; Pérez-Lorenzo, Maria; Teira, Eva; Hernández-León, Santiago; Sebastian, Marta (2022): Biogeochemical variables and optimum multiparameter analysis results from the tropical and subtropical Atlantic of the MAFIA cruise in 2015 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.942934, In: Gómez-Letona, M et al. (2022): Fluorescent dissolved organic matter and water mass distribution in the tropical and subtropical Atlantic in 2015 [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.942941
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Abstract:
This dataset contains the results of the fluorescent dissolved organic matter characterisation (FDOM) and water mass optimum multiparameter analysis from the MAFIA cruise (Migrants and Active Flux In the Atlantic ocean). Samples were collected in the tropical and subtropical Atlantic during the MAFIA cruise (April 2015) on board the BIO Hespérides. Seawater samples for biogeochemical analyses were collected at 13 stations (from the Brazilian coast to the Canary Islands), from the surface down to 3500 m, using a General Oceanics oceanographic rosette equipped with 24 l PVC Niskin bottles. Oxygen solubility was computed using the equation of Benson and Krause (1984). AOU (µmol/kg) was calculated by subtracting measured oxygen concentration from the oxygen solubility values at saturation, with respect to the atmosphere. Fluorescence measurements were performed with a Perkin-Elmer LS55 spectrofluorometer and FDOM was characterised by means of a Parallel Factor analysis. Integrated values were estimated by multiplying the discrete measurements by the distance, in meters, between samples. The contribution of each water mass to each sample was objectively quantified applying an optimum multiparameter analysis (excluding mixed layer samples, here < 100 m). The aim of this dataset was to jointly characterise the FDOM and water mass distributions to infer the processes that shape the dissolved organic matter pool in the deep ocean (water mass mixing and history vs. local processes).
Keyword(s):
Supplement to:
Gómez-Letona, Markel; Arístegui, Javier; Hernández-Hernández, Nauzet; Alvarez-Salgado, Xose Anton; Álvarez, Marta; Delgadillo, Erick; Pérez-Lorenzo, Maria; Teira, Eva; Hernández-León, Santiago; Sebastian, Marta (2022): Deep ocean prokaryotes and fluorescent dissolved organic matter reflect the history of the water masses across the Atlantic Ocean. Progress in Oceanography, 205, 102819, https://doi.org/10.1016/j.pocean.2022.102819
Further details:
Álvarez, Marta; Brea, S; Mercier, Herlé; Alvarez-Salgado, Xose Anton (2014): Mineralization of biogenic materials in the water masses of the South Atlantic Ocean. I: Assessment and results of an optimum multiparameter analysis. Progress in Oceanography, 123, 1-23, https://doi.org/10.1016/j.pocean.2013.12.007
Alvarez-Salgado, Xose Anton; Nieto-Cid, Mar; Álvarez, Marta; Pérez, Fiz F; Morin, Pascal; Mercier, Herlé (2013): New insights on the mineralization of dissolved organic matter in central, intermediate, and deep water masses of the northeast North Atlantic. Limnology and Oceanography, 58(2), 681-696, https://doi.org/10.4319/lo.2013.58.2.0681
Benson, Bruce B; Krause Jr, Daniel (1984): The concentration and isotopic fractionation of oxygen dissolved in freshwater and seawater in equilibrium with the atmosphere. Limnology and Oceanography, 29(3), 620-632, https://doi.org/10.4319/lo.1984.29.3.0620
Broecker, Wallace S (1974): “NO”, a conservative water-mass tracer. Earth and Planetary Science Letters, 23(1), 100-107, https://doi.org/10.1016/0012-821X(74)90036-3
Hernández-León, Santiago; UTM-CSIC (2018): MAFIA Cruise, RV Hespérides. UTM-CSIC, https://doi.org/10.20351/29HE20150403
Stedmon, Colin A; Bro, Rasmus (2008): Characterizing dissolved organic matter fluorescence with parallel factor analysis: a tutorial. Limnology and Oceanography-Methods, 6(11), 572-579, https://doi.org/10.4319/lom.2008.6.572
Project(s):
Biogeochemical impact of mesoscale and sub-mesoscale processes along the life history of cyclonic and anticyclonic eddies: plankton variability and productivity (e-IMPACT)
Funding:
Ministerio de Ciencia e Innovación (MICINN), grant/award no. CTM2012-39587-C04: Migrants and Active Flux In the Atlantic Ocean
Ministerio de Ciencia e Innovación (MICINN), grant/award no. CTM2015-69392-C3: Constraining organic carbon fluxes in an eastern boundary upwelling ecosystem (NW Africa): the role of non-sinking carbon in the context of the biological pump
Ministerio de Ciencia e Innovación (MICINN), grant/award no. CTM2017-83362-R: INTERES: Papel de las interacciones fitoplancton-bacterias en la respuesta del plancton microbiano a la entrada de nutrientes alóctonos
Ministerio de Ciencia e Innovación (MICINN), grant/award no. PID2019-109084RB-C21: Biogeochemical impact of mesoscale and sub-mesoscale processes along the life history of cyclonic and anticyclonic eddies: plankton variability and productivity
Coverage:
Median Latitude: 7.387423 * Median Longitude: -24.348562 * South-bound Latitude: -13.124000 * West-bound Longitude: -33.958800 * North-bound Latitude: 27.404000 * East-bound Longitude: -15.946000
Date/Time Start: 2015-04-05T00:45:00 * Date/Time End: 2015-04-28T20:32:07
Minimum DEPTH, water: 85.272 m * Maximum DEPTH, water: 3453.205 m
Event(s):
MAFIA_01_D-1 * Latitude: -13.124000 * Longitude: -33.958800 * Date/Time Start: 2015-04-05T20:48:00 * Date/Time End: 2015-04-05T00:45:00 * Location: Atlantic Ocean * Campaign: MAFIA * Basis: Hespérides * Method/Device: CTD/Rosette (CTD-RO)
MAFIA_02_L-1 * Latitude: -10.000700 * Longitude: -31.823800 * Date/Time Start: 2015-04-07T07:30:00 * Date/Time End: 2015-04-07T11:15:00 * Location: Atlantic Ocean * Campaign: MAFIA * Basis: Hespérides * Method/Device: CTD/Rosette (CTD-RO)
MAFIA_03_L-1 * Latitude: -6.576700 * Longitude: -30.139000 * Date/Time Start: 2015-04-09T05:08:00 * Date/Time End: 2015-04-09T09:10:00 * Location: Atlantic Ocean * Campaign: MAFIA * Basis: Hespérides * Method/Device: CTD/Rosette (CTD-RO)
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Event label | Event | Arístegui, Javier | |||
| 2 | Station label | Station | Arístegui, Javier | |||
| 3 | Campaign | Campaign | Arístegui, Javier | |||
| 4 | Date/Time of event | Date/Time | Arístegui, Javier | |||
| 5 | Latitude of event | Latitude | Arístegui, Javier | |||
| 6 | Longitude of event | Longitude | Arístegui, Javier | |||
| 7 | DEPTH, water | Depth water | m | Arístegui, Javier | Geocode | |
| 8 | Sample ID | Sample ID | Arístegui, Javier | |||
| 9 | Pressure, water | Press | dbar | Arístegui, Javier | CTD, Sea-Bird, SBE 911plus | |
| 10 | Temperature, water, potential | Tpot | °C | Arístegui, Javier | CTD, Sea-Bird, SBE 911plus | |
| 11 | Salinity | Sal | Arístegui, Javier | CTD, Sea-Bird, SBE 911plus | ||
| 12 | Silicate | Si(OH)4 | µmol/l | Arístegui, Javier | Continuous Segmented Flow Analyzer, SEAL Analytical, QuAAtro39 | |
| 13 | Nitrate + Oxygen tracer | 9.3*NO3 + O2 | µmol/kg | Arístegui, Javier | Calculated after Broecker (1974) | |
| 14 | Oxygen | O2 | µmol/kg | Arístegui, Javier | Titration, Winkler | |
| 15 | Oxygen, apparent utilization | AOU | µmol/kg | Arístegui, Javier | Oxygen, Benson & Krause 1984 | |
| 16 | Fluorescence intensity, maximum, DOM | fDOMmax | RU | Arístegui, Javier | Parallel factor analysis (PARAFAC) | C462-490 |
| 17 | Fluorescence intensity, maximum, DOM | fDOMmax | RU | Arístegui, Javier | Parallel factor analysis (PARAFAC) | C454 |
| 18 | Fluorescence intensity, maximum, DOM | fDOMmax | RU | Arístegui, Javier | Parallel factor analysis (PARAFAC) | C406 |
| 19 | Fluorescence intensity, maximum, DOM | fDOMmax | RU | Arístegui, Javier | Parallel factor analysis (PARAFAC) | C366 |
| 20 | Absorption coefficient, colored dissolved organic matter at 254 nm | aCDOM_254 | 1/m | Arístegui, Javier | Spectrophotometer, Ocean Optics USB2000 | |
| 21 | Fluorescence intensity, maximum, DOM | fDOMmax | RU | Arístegui, Javier | Calculated | C366, integrated (0-200 m) |
| 22 | Absorption coefficient, colored dissolved organic matter at 254 nm | aCDOM_254 | 1/m | Arístegui, Javier | Calculated | integrated (0-200 m) |
| 23 | Chlorophyll a, integrated | Chl a int | mg/m2 | Arístegui, Javier | Calculated | 0-200 m |
| 24 | Salinity Maximum Water, relative volume contribution | SMW | Arístegui, Javier | Optimum multiparameter analysis | ||
| 25 | Madeira Mode Water, relative volume contribution | MMW | Arístegui, Javier | Optimum multiparameter analysis | ||
| 26 | Equatorial Water, relative volume contribution | EQ13 | Arístegui, Javier | Optimum multiparameter analysis | ||
| 27 | Eastern North Atlantic Central Water of 15°C, relative volume contribution | ENACW15 | Arístegui, Javier | Optimum multiparameter analysis | ||
| 28 | Eastern North Atlantic Central Water of 12°C, relative volume contribution | ENACW12 | Arístegui, Javier | Optimum multiparameter analysis | ||
| 29 | Subpolar Mode Water, relative volume contribution | SPMW | Arístegui, Javier | Optimum multiparameter analysis | ||
| 30 | Mediterranean Water, relative volume contribution | MW | Arístegui, Javier | Optimum multiparameter analysis | ||
| 31 | Antarctic Intermediate Water of 5°C, relative volume contribution | AAIW5 | Arístegui, Javier | Optimum multiparameter analysis | ||
| 32 | Antarctic Intermediate Water of 3.1°C, relative volume contribution | AAIW3.1 | Arístegui, Javier | Optimum multiparameter analysis | ||
| 33 | Circumpolar Deep Water, relative volume contribution | CDW | Arístegui, Javier | Optimum multiparameter analysis | ||
| 34 | North Atlantic Deep Water of 4.6°C, relative volume contribution | NADW4.6 | Arístegui, Javier | Optimum multiparameter analysis | ||
| 35 | North Atlantic Deep Water of 2°C, relative volume contribution | NADW2 | Arístegui, Javier | Optimum multiparameter analysis |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
6717 data points
Download Data
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